A Simple Snowfall Retrieval Algorithm for the GPM Dual‐Frequency Precipitation Radar: Development and Validation With OLYMPEX Campaign Observation by S. Akiyama, S. Shige, K. Aonashi, T. Iguchi

“…The results showed the DF‐method produced high correlation, but some bias dependent on an assumed particle model. Both the operational algorithm and the DF‐method using the scattering properties of the spheroid model equivalent to the best aggregate model yielded unsatisfactory results, indicating that it is important to use realistic snow scattering properties in the DF‐method, rather than relying on the Mie or T‐matrix scattering.…”
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A Study on Deep Learning Performances of Identifying Images’ Emotion: Comparing Performances of Three Algorithms to Analyze Fashion Items by Gaeun Lee, Seoyun Yi, Jongtae Lee

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Enhancing the decision optimization of interaction design in sustainable healthcare with improved artificial bee colony algorithm and generative artificial intelligence. by Shuhui Yu, Xin Guan, Xiaoyan Peng, Yanzhao Zeng, Zeyu Wang, Xinyi Liang, Tianqiao Qin, Xiang Zhou

“…The algorithm draws inspiration from the dual-layer evolutionary space of cultural algorithms, combining normative knowledge from the credibility space to dynamically adjust the search range, thereby improving both convergence speed and exploration capabilities. …”
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Enhancing Reactive Power Compensation in Distribution Systems through Optimal Integration of D-STATCOM using the Pelican Optimization Algorithm by A. F. S. Yussif, T. Seini, B. Ayasu, E. A. Nyantakyi

“… This paper presents a study that introduces the Pelican Optimization Algorithm (POA) as an innovative approach for the strategic deployment of Distribution Static Synchronous Compensators (D-STATCOM) in distribution systems. …”
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Comparative Evaluation of Mean Cumulative Regret in Multi-Armed Bandit Algorithms: ETC, UCB, Asymptotically Optimal UCB, and TS by Lei Yicong

“…This research provides an explicit introduction to the MAB problem and the four algorithms. Furthermore, it concludes that both Asymptotically Optimal UCB and TS are suitable for decision-making in the short and long term. …”
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POSOP Routing Algorithm: A DTN Routing Scheme for Information Connectivity of Health Centres in Hilly State of North India by Rahul Johari, Neelima Gupta, Sandhya Aneja

“…Our approach outperforms both the routing schemes.…”
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Enhanced Leakage Detection and Estimation via a Hybrid Genetic Algorithm and High-Order Sliding Modes Observer Approach by David Pumaricra-Rojas, Gustavo Perez-Zuniga, Javier Sotomayor-Moriano

“…This paper introduces a hybrid approach designed for both detecting and estimating the magnitude of leaks in oil pipelines. …”
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Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization by Dawen Wu, Yanfei Li, Zeyi Yang, Teng Yin, Xiaohang Chen, Jingyu Liu, Wenyi Shang, Bin Xie, Guoyuan Yang, Haixian Zhang, Longqian Liu

“…Downstream strabismus screening task validation showed our model (with head tilt correction) achieving an area under the curve of 0.917 (95% CI 0.901‐0.933), surpassing Dlib-toolkit and faster R-CNN (both without head tilt correction) with an area under the curve of 0.856 (PP ConclusionsThis study delivers an AI-driven platform featuring a preprocessing algorithm that automates eye region cropping, correcting head tilt variations to improve image quality for AI development and clinical use. …”
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A modified and extended genetic algorithm for optimal distributed generation grid-integration solutions in direct current power grids by Carlos D. Zuluaga-Ríos

“…To tackle this, a modified and extended genetic algorithm was developed, capable of handling both continuous and discrete variables simultaneously. …”
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A Probabilistic Linguistic Large-Group Emergency Decision-Making Method Based on the Louvain Algorithm and Group Pressure Model by Zhiying Wang, Hanjie Liu, Ruohan Ma

“…To tackle preference conflicts and uncertainty in large-group emergency decision-making (LGEDM), this study proposes a probabilistic linguistic LGEDM method integrating the Louvain algorithm and group pressure model. First, expert weights are determined based on a social trust network, and the Louvain algorithm is employed for expert clustering, reducing the complexity of large-scale decision information. …”
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A Smart Contract-Based Algorithm for Offline UAV Task Collaboration: A New Solution for Managing Communication Interruptions by Linchao Zhang, Lei Hang, Keke Zu, Yi Wang

“…To address these challenges, this paper proposes an offline task-coordination algorithm based on blockchain smart contracts. This algorithm integrates task allocation, resource scheduling, and coordination strategies directly into smart contracts, allowing UAV swarms to autonomously make decisions and coordinate tasks while offline. …”
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Design and Development of Interactive Software Models for Teaching Coding Theory: A Case Study on Hamming Codes—General Algorithm by Yuksel Aliev, Galina Ivanova, Adriana Borodzhieva

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Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery by Houda Labjar, Mohammad Al-Sarem, Mohamed Kissi

“…This paper presents an approach that uses both genetic algorithm (GA) and fuzzy inference system (FIS), for feature selection for descriptor in a quantitative structure activity relationships (QSAR) classification and prediction problem. …”
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Evaluation of an Immunoassay-Based Algorithm for Screening and Identification of Giardia and Cryptosporidium Antigens in Human Faecal Specimens from Saudi Arabia by Yousry Hawash

“…An immunoassay-based algorithm, involving three commercial kits, was introduced and evaluated for screening and identification of Giardia/Cryptosporidium antigens in human stool specimens. …”
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Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures by Mohammed Maree, Wala’a Shehada

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An Extensive Analysis of Power Quality Improvement in a Three-Stage 15-Level Inverter Using Various ANN Algorithms by K. Sakthivel, S. Albert Alexander

“…The number of switches is lowered by using a better Pulse Width Modulation (PWM) method, and Artificial Neural Network (ANN) algorithms help with finding faults. The research integrates both PWM and ANN techniques to enhance the power quality of multilevel inverters (MLIs). …”
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Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters by Gabriel Serrato de Mendonça Silva, Carlos Alberto Eiras Garcia

“…The operational algorithms are used in MODIS and VIIRS sensors to derive satellite chlorophyll concentration (Csat). …”
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Evaluation of ocean chlorophyll-a remote sensing algorithms using in situ fluorescence data in Southern Brazilian Coastal Waters by Gabriel Serrato de Mendonça Silva, Carlos Alberto Eiras Garcia

“…The operational algorithms are used in MODIS and VIIRS sensors to derive satellite chlorophyll concentration (Csat). …”
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Fixed-Time Cooperative Tracking Control With Novel Finite-Time Parameter Estimation Algorithm for Nonlinear Multi-Agent Systems by Ibrahim Bako Abdulhamid, Muhammad Nasiruddin Mahyuddin

“…The adaptive law proposed in this framework is formulated by incorporating a filtered regressor driven both by the consensus and parameter estimation error. …”
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SSM-Net: Enhancing Compressed Sensing Image Reconstruction with Mamba Architecture and Fast Iterative Shrinking Threshold Algorithm Optimization by Xianwei Gao, Bi Chen, Xiang Yao, Ye Yuan

“…Extensive experiments on various benchmark datasets show that SSM-Net achieves state-of-the-art reconstruction performance while reducing both training and inference reconstruction time, making SSM-Net a scalable and practical solution for real-time applications of compressed sensing.…”
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